Evidence map›Paper›PMID 27278343›Full record

ArticleAnnals of biomedical engineering2016

Modelling of Brain Deformation After Decompressive Craniectomy.

Tim L Fletcher, Barbara Wirthl, Angelos G Kolias, Hadie Adams, Peter J A Hutchinson, Michael P F Sutcliffe

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Review
  2. Article
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  8. Article
  9. Bulging brains.Journal Of Elasticity · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Tim L FletcherDepartment of Engineering, University of Cambridge, Cambridge, CB2 1PZ, UK.
Barbara WirthlDepartment of Engineering, University of Cambridge, Cambridge, CB2 1PZ, UK.
Angelos G KoliasDivision of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, CB2 0QQ, UK.
Hadie AdamsDivision of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, CB2 0QQ, UK.
Peter J A HutchinsonDivision of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, CB2 0QQ, UK.
Michael P F SutcliffeDepartment of Engineering, University of Cambridge, Cambridge, CB2 1PZ, UK. mpfs@eng.cam.ac.uk.

Funding

Department of Health 12/35/57Department of Health NIHR-RP-R3-12-013Medical Research Council G0601025
6 · The paper itself

Abstract

Hyperelastic finite element models, with either an idealized cylindrical geometry or with realistic craniectomy geometries, were used to explore clinical issues relating to decompressive craniectomy. The potential damage in the brain tissue was estimated by calculating the volume of material exceeding a critical shear strain. Results from the idealized model showed how the potentially damaged volume of brain tissue increased with an increasing volume of brain tissue herniating from the skull cavity and with a reduction in craniectomy area. For a given herniated volume, there was a critical craniectomy diameter where the volume exceeding a critical shear strain fell to zero. The effects of details at the craniectomy edge, specifically a fillet radius and a chamfer on the bone margin, were found to be relatively slight, assuming that the dura is retained to provide effective protection. The location in the brain associated with volume expansion and details of the material modeling were found to have a relatively modest effect on the predicted damage volume. The volume of highly sheared material in the realistic models of the craniectomy varied roughly in line with differences in the craniectomy area.

Indexed as

BrainDecompressive CraniectomyModels, NeurologicalSkullHumansShear StrengthBrain injuryFE analysisNeurosurgery

Identifiers

PMID27278343
PMCPMC5112297

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.